2025 AIChE Annual Meeting

Session: Meet the Industry Candidates Poster Session: Computing And Systems Technology Division

An analog to the Meet the Faculty Candidate Poster Session, the Meet the Industry Candidates Poster Session and Reception will provide an excellent opportunity for graduate students to showcase their research to industrial attendees, talent scouts, and recruiters who regularly attend the AIChE Annual Meeting.

Co-Chairs

Stefanos Baratsas, Texas A&M University

Presentations

(383ac) Sustainable Aviation Fuels (SAF) from Bioethanol in Brazil: An Integrated Systems Modeling Approach
Madelynn Watson
(383r) Modelling and Optimization of Uncertianty in Supply Chains Networks
Abilash Subbaraman
(383s) Data Extraction from Scientific Literature for CO? Capture Using Large Language Models
Jia Yuan Chng, David S. Sholl
(383t) Advancing Hydrogen Generation: Data-Driven Modeling, Optimization, and Techno-Economic Evaluation of Electrolyzer and Fuel Cell Systems
Krishna Murthy Busam, Fernando Lima
(383u) Study and Discovery of Porous Materials for Gas Separation and Storage
Prerna Prerna
(383v) Advances in DATA-Driven Decision-Making and Optimization Underuncertainty for Energy Systems and Supply Chains
Funda Iseri
(383w) Machine Learning-Aided Design and Operational Optimization for Sustainable Chemical Process Systems
Md Masud, Yuhe Tian
(383x) Towards an Integrated Design and Management Framework for Supply Chain Network Resilience
Shivam Vedant
(383y) A Multiscale Modeling and Optimization Framework for the Techno-Economic and Impact Assessment of Novel Technology Pathways
Swaminathan Sundar
(383z) Multi-Scale Modeling and Optimization of Membranes to Enable Process Intensification of Critical Mineral and Material Recovery
Molly Dougher
(383aa) Advanced Reactor Modeling and Optimization for Novel Hydrocarbon Conversions
Denver Haycock
(383ab) Modeling and Solution Strategies for the Optimization of Multi-Timescale Energy Systems
Nishant Vinayak Giridhar
(383q) From the Lab to Production: Control-Informed Machine Learning for Reliable Industrial Forecasting
Joshua Hammond, Brian A. Korgel, Michael Baldea
(383ad) Techno-Economic Optimization and Process Modeling for Water Treatment and Resource Recovery
Savannah Sakhai
(383ae) Digital Design and Scale-up of Crystallization Processes: An Integrated Modeling Framework for Industrial Applications
Yung-Shun Kang, Zoltan Nagy
(383af) Techno-Economic Optimization and Process Modeling of Upcycling of Microwave-Assisted Plastics Wastes and Microwave-Assisted Methane Dehydroaromatization Process
Harish Damahe
(383ag) Stochastic Simulation and Machine Learning Techniques for Studying Cell Differentiation and Maturation
Shenbageshwaran Rajendiran
(383ah) Data Driven and Physics-Informed AI for Sustainable Process Systems Engineering
Zahir Aghayev
(383ai) Adaptive Machine Learning Process Mapping for Chemical and Advanced Manufacturing Systems
Alexander Summers, Q. Peter He
(383a) Safety-intelligent Real-Time Risk-Aware Control for Energy Systems
Sahithi Srijana Akundi, Yuanxing Liu, Beatriz Dantas, Austin Braniff, Shayan Niknezhad, Faisal Khan, Yuhe Tian, Efstratios Pistikopoulos
(383aw) Digital Tools That Work: AI for Real-World Process Industries
Andrea Galeazzi
(383ay) Development of a Generalized Gradient Boosting Regression Framework for Predicting IL System Properties.
Kimia Fereydooni, Oscar Nordness
(389cl) Artificial Neural Network model for capturing the effect of local atomic environment on diffusion processes in metals and alloys
Sandip Sawarkar
(383e) Hybrid Modeling and Design Strategies for Enhancing Flexibility, Operability and Dynamic Operations in Process Systems Engineering
Beatriz Dantas, Fernando Lima, Yuhe Tian
(383au) Data-Driven Framework for Regional and National GHG Emission Accounting, Forecasting, and Mitigation Strategy Development
Peiyao Zhao, Jimi Oke
(383an) Numerical Simulation of a Swimming Bacterium in a Microstructured Complex Fluid
Sabarish Vadanakurussi Narayanan
(383ao) Geometric and Modular Pathways for Global Optimality.
Varsha Gupta
(383ap) Developing a Novel Bottom-up Pharmaceutical Nanoformulation Approach Using Soft Materials, Molecular Simulation, and Deep Learning
Lucas Attia
(383aj) Long-Term Capacity Planning Under Uncertainty
Molly McDonald
(383ak) Data-Driven Methods for Discovery and Parameter Estimation of Dynamical Systems
Siddharth Prabhu, Srinivas Rangarajan, Mayuresh Kothare
(383al) A Generalized C++ Framework for Multiscale Kinetic Modeling in Catalytic and Electrochemical Systems
Rajat Daga
(383am) Driving Membrane Breakthroughs By Bridging Simulation, Machine-Learning and Membrane Transport Fundamental Parameters
Vitor Renan Vitor Gama
(383b) Optimizing the Energy-Materials-Mobility Transition Nexus: A Multiscale Framework for Sustainable Systems Design.
Betsie Montano Flores, Marco De Sousa, Rahul Kakodkar, Shayan Niknezhad, Efstratios Pistikopoulos
(383c) Bridging Chemical Engineering and Data Science
Elia Arnese Feffin
(383d) Process Modeling and Techno-Economic Optimization for Producing Value-Added Products from Lignocellulosic Biomass
Poulomi Das
(383as) Thermodynamic Modeling of Organic Acid Separation in Nanofiltration Membranes: An Aspen Plus Approach
Nooram Anjum, Haoran Wu, Lauren Valentino, Meltem Urgun-Demirtas, Chau-Chyun Chen
(383f) Systematic Approaches for Hybrid Physics-Machine Learning Modeling and Techno-Economic and Environmental Assessment of Chemical, Energy Conversion, and Storage Systems
Claudemi Nascimento, Fernando Lima
(383g) Controlling the Water Transport through Nanochannels of Ion-Intercalated Ti3C2Tx Mxene Membranes
Vahid Rad, Ahmad A. Shamsabadi, Masoud Soroush
(383h) A Process Systems Engineering Approach for Advancing Process Safety in the Chemical and Energy Industries
Austin Johnes
(383i) Decision-Making for Integrated Energy Systems Using Multiscale Optimization and Machine Learning Methods
Xinhe Chen
(383k) Intensification Modeling and Optimization of Post-Combustion Capture and Energy Systems
Stephen Summits
(383ax) Advancing Interpretable ML Methods for Dynamic System Identification and Model-Based Design
Benjamin Cohen
(383l) Modeling and Optimization of Electrified and Low-Carbon Process Technologies: A Systems-Level Perspective
Chaitanya Vuppanapalli
(383m) Integrating Multiscale Modeling and High-Throughput Screening to Advance Catalysts for Green Chemistry
Shyam Deo
(383o) Unraveling Fluoride As Structure Directing Role on Zeolite Self-Assembly Via Integrated DFT and Monte Carlo Simulation
Seungbo Hong, Scott M. Auerbach
(383p) First-Principles Modeling of Natural Gas Reformers for Operational Optimization in Low-Carbon Ironmaking
Jihun Jeong